Senior ML Scientist – PXT Central Science

Amazon; Arlington (VA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon in Arlington, VA seeks a Senior Applied Scientist to architect production ML systems that scale to millions of users and influence strategic decisions. You will tackle problems across predictive modeling, NLP, recommendation systems, and generative AI, collaborating with cross-functional teams to translate business challenges into rigorous technical solutions.

The role emphasizes leadership, experimentation, and clear communication with senior stakeholders, with Amazon’s comprehensive

Qualifications

• PhD or Master’s degree with 6+ years of applied research experience.
• 3+ years of building ML models for business applications.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Design and deploy large-scale machine learning systems in production environments.
• Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI.
• Create ML solutions that personalize manager onboarding and development experiences — identifying individual capability gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts.
• Partner to build causal inference models and experimental frameworks to measure impact.
• Collaborate with product managers, engineers, and business leaders to define technical roadmaps.
• Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

Skills

Java

C++

Python

Deep learning

NLP

Generative AI

AWS

LLMs

Personalization

Recommendations

Education

PhD

Master's degree

Tools

TensorFlow

PyTorch

scikit-learn

Spark MLLib

MXNet

Job description

Amazon in Arlington, VA seeks a Senior Applied Scientist to architect production ML systems that scale to millions of users and influence strategic decisions. You will tackle problems across predictive modeling, NLP, recommendation systems, and generative AI, collaborating with cross-functional teams to translate business challenges into rigorous technical solutions.

The role emphasizes leadership, experimentation, and clear communication with senior stakeholders, with Amazon’s comprehensive